A review on models, products and techniques for evapotranspiration measurement, estimation, and validation

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dc.authoridDerakhshandeh, Masoud/0000-0002-7924-8396
dc.contributor.authorBaris, Mesut
dc.contributor.authorTombul, Mustafa
dc.date.accessioned2024-09-11T19:50:08Z
dc.date.available2024-09-11T19:50:08Z
dc.date.issued2024
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description.abstractIn this review study, the major available methods for measurement and estimation of evapotranspiration (ET) are discussed briefly while explaining the latest developments. The best available validation methods are also reviewed and explained. It highlights the importance of accurate ET quantification in managing water resources, evaluating climate change impacts, and supporting crop water requirement management. Measurement methods such as scintillometry, lysimetry, and the eddy covariance (EC) flux method are presented. Additionally, hydrological models are discussed as estimation approaches for actual and potential ET. The paper explores various ET estimation products, particularly those based on remote sensing techniques. Specifically, methods like Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC), Simplified Surface Energy Balance Operational (SSEBop ET), Moderate Resolution Imaging Spectroradiometer (MOD16), Surface Energy Balance Algorithm for Land (SEBAL), Global Land Surface Evaporation: Amsterdam Methodology (GLEAM), Satellite Application Facility on Land Surface Analysis (LSA-SAF), and Global Land Data Assimilation System (GLDAS) are described. The integration of machine learning (ML) with EC and remote sensing is investigated, with a comprehensive discussion of different ML approaches. Validation methods including the EC method, water balance method-derived ET (WBET), and statistical techniques are explained. Overall, this review paper provides a comprehensive overview of ET quantification, covering measurement techniques, estimation approaches, remote sensing methods, and the integration of ML. The insights gained from this review contribute to a profound knowledge of ET dynamics and helps those sectors dealing with drought monitoring, water resource management and climate change assessments.en_US
dc.identifier.doi10.1002/tqem.22250
dc.identifier.issn1088-1913
dc.identifier.issn1520-6483
dc.identifier.scopus2-s2.0-85193357780en_US
dc.identifier.urihttps://doi.org/10.1002/tqem.22250
dc.identifier.urihttps://hdl.handle.net/11363/7569
dc.identifier.wosWOS:001224513800001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofEnvironmental Quality Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.subjectestimation methodsen_US
dc.subjectevapotranspiration measurement methodsen_US
dc.subjecthydrological modelsen_US
dc.subjectML approachesen_US
dc.subjectremote sensing approachesen_US
dc.subjectvalidation techniquesen_US
dc.titleA review on models, products and techniques for evapotranspiration measurement, estimation, and validationen_US
dc.typeReview Articleen_US

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